דרושים Consulting Project Manager Efront / Aladdin ב-Ey ב-Luxembourg

Your key responsibilities

• Develop strong client relationships and identify new business opportunities, while assisting in further development of our technology risk competencies around Digitak Risk and/or Operational Resilience
• Assist in developing “Go To Market” strategies
• Provide guidance, share knowledge and manage team members while participating in solving our client’s most complex questions related to IT Risk Management, both from a strategic and operational point of view.
• Engage with clients to assess and improve their IT GRC frameworks, policies, and procedures.
• Lead risk assessments, compliance audits, and gap analyses for clients across various industries.
• Design and implement IT GRC solutions that align with client business objectives and regulatory requirements.
• Provide expert advice on IT governance, risk management, compliance strategies, and preferably Third-Party Risk Management
• Manage operationally multiple client engagements simultaneously, ensuring high-quality deliverables and adherence to timelines.
• Stay abreast of industry trends, regulatory changes, and advancements in technology that may impact clients' GRC strategies.

Skills and attributes for success

• Bachelor's or master’s degree in information technology, Cybersecurity, Risk Management, or a related field.
• Professional certification such as ISO27001, ISO 22301, ISO 31000, CRISC, CGEIT, CISM, or CISSP is preferred (not mandatory).
• Minimum of 5 years of experience in IT GRC, with a focus on consulting or advisory services.
• Expertise in at least one of the following areas:
  • IT Risk Management/Transformation
  • IT Governance
  • Operational Resilience
  • Third-Party Risk Management
  • GRC Tooling
  • Data risk
• Knowledge and experience with GRC tools such as ServiceNow, AuditBoard, etc are a plus
• Proven track record of delivering high-quality consulting services to clients.
• Strong understanding of IT governance frameworks (e.g., COBIT, ITIL) and risk management methodologies.
• Familiarity with compliance standards and regulations such as ISO 27001, GDPR, DORA, CSSF Circulars, etc.
• Exceptional analytical, problem-solving, and project management skills.
• Excellent communication, presentation, and interpersonal skills, with the ability to engage effectively with clients at all levels.
• Native French or Luxembourgish speaker, with an excellent knowledge of business English.

What we offer you

Our offer of employment is contingent upon the successful completion of a background check and pre-screening requirements. The candidate acknowledges that all information provided must be accurate.

We are seeking a dynamic and experienced Senior Data Analyst / AI Consultant with a minimum of 5 years of professional experience. The ideal candidate will possess a strong background in data management, hold relevant certifications, and have a degree in Computer Science, Engineering, or a related field. This role requires proficiency in data governance tools such as Microsoft Purview, Collibra, and Informatica, as well as the ability to adapt to various technologies and client-specific solutions.

Your key responsibilities

• Data Management, Analysis, and Visualization: Lead the collection, organization, and analysis of data to extract meaningful insights and support data-driven decision-making processes.
• AI Solution Development: Design, develop, and implement AI models and algorithms tailored to meet client needs, ensuring scalability and integration with existing systems.
• Client Consultation: Engage with clients to understand their business objectives, provide expert advice on data strategies, and develop customized solutions that address their unique challenges.
• Tool Implementation: Utilize and manage data governance and management tools, including but not limited to Microsoft Purview, Collibra, and Informatica, to ensure data quality, compliance, and accessibility.
• Project Coordination: Participate in projects from inception to completion, coordinating with cross-functional teams to deliver solutions on time and within budget.
• Continuous Learning: Stay abreast of emerging technologies and industry trends to continually enhance skills and apply innovative approaches to client solutions.

Skills and attributes for success

• Educational Background: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related discipline.
• Professional Experience: At least 5 years of experience in data analysis, AI consulting, or related fields.
• Certifications: Relevant certifications in data management, AI, or specific tools such as Microsoft Purview, Collibra, or Informatica are highly desirable.
• Experience in data governance platforms like Microsoft Purview, Collibra, and Informatica.
• Experience in Microsoft Azure platform
• Excellent verbal and written communication skills, with the ability to convey complex technical concepts to non-technical stakeholders effectively.
• Fluent in English and French (Spoken and written)

Ideally, you’ll also

• Experience with data visualization tools and AI frameworks.
• Proficiency in programming languages such as Python, R, or SQL.

What we look for

Demonstrated ability to learn and implement new technologies quickly, adapting to various client environments and industry-specific solutions.

What we offer you

Our offer of employment is contingent upon the successful completion of a background check and pre-screening requirements. The candidate acknowledges that all information provided must be accurate.

Your key responsibilities

As a senior consultant, your client portfolio will include both large international companies as well as strategic growth market clients. You will be part of an integrated Human Capital practice providing global mobility services on individual income tax, social security, immigration as well as other related services

In your role, you will produce work of high quality in a consistent way. Furthermore, you will motivate other team members to do the same and you will receive the necessary guidance enabling you to supervise and lead your team throughout the next level of your career.

Skills and attributes for success

• Bachelors or Master’s degree in Accounting, Tax, Legal, HR or business-related fields
• Minimum 3 years of experience in a similar role in either a corporate environment or in a professional services firm (in Luxembourg or abroad)
• Excellent oral and written English skills (including strong presentation skills)
• Excellent interpersonal, analytical, and problem-solving ability
• Intermediate Computer skills (e.g. MS Office)

Ideally, you’ll also have

• French and/or German full proficiency
• Experience in Luxembourg

What we offer you

Our offer of employment is contingent upon the successful completion of a background check and pre-screening requirements. The candidate acknowledges that all information provided must be accurate.

Our offer of employment is contingent upon the successful completion of a background check and pre-screening requirements. The candidate acknowledges that all information provided must be accurate.

Your key responsibilities

• Lead project delivery, ensuring successful implementation of strategic initiatives for clients.
• Develop and manage a client book, fostering strong relationships with clients in the Financial Service industry
• Drive business development efforts to identify new opportunities and expand EY's presence
• Design and implement operational models that align with regulatory requirements and enhance client operations.
• Analyze regulatory frameworks and create compliant solutions for profitable business growth.

Skills and attributes for success

• 7+ years of experience in consulting, Compliance, Risk Management, or operations within a Bank, Management Company/AIFM or Asset Servicing Firm.
• A proactive approach to business development and client relationship management.
• Strong project management skills with a focus on delivering results.
• Knowledge of key regulatory topics (e.g., UCITS, AIFMD, MIFID) and experience
• Understanding of operational processes for the financial sector.
• Excellent communication and presentation skills in French and English. Additional European language is a plus

Building a better working world

Our offer of employment is contingent upon the successful completion of a background check and pre-screening requirements. The candidate acknowledges that all information provided must be accurate.

Team & People Leadership

• Build, lead, and retain high-performing engineering teams across one or more domains (backend, frontend, data); set clear goals, provide continuous feedback, and conduct growth-oriented performance conversations.
• Mentor leads and engineers, raising the bar on engineering excellence, code quality, and maintainability; create individualized development plans and promote knowledge sharing.

Delivery & Execution

• Own delivery outcomes for the team(s): plan releases, sequence work, and remove impediments to ensure predictable, on-time delivery of features with the right quality.
• Partner with Product to refine scope, balance trade-oƯs, and align roadmap, capacity, and budgets with strategic objectives.
• Establish lightweight but eƯective execution rituals (planning, reviews, retrospectives) and ensure clear status communication to stakeholders.

Required Skills & Qualifications:

• Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Accounting, or a related field.
• 4+ years of experience in data analytics, preferably within an audit or assurance environment.
• Proficiency in SQL, Python, and Spark/PySpark.
• Strong experience in data modeling and transforming complex datasets into structured formats.
• Experience in the financial sector, with a solid understanding of financial data structures.
• Ability to analyze and transcribe financial data into ER diagrams for structured analysis.
• Excellent problem-solving and analytical skills with attention to detail.
• Ability to communicate complex data insights clearly and effectively to non-technical stakeholders.
• Familiarity with data governance, privacy, and compliance standards.
• Experience working in Agile teams and using project management tools like Jira or Trello is a plus.

Technical Stewardship

• Uphold engineering standards for secure, scalable, and observable systems; champion practices such as code reviews, automated testing, CI/CD, and trunk-based development.
• Guide architectural decisions in partnership with domain and enterprise architects; ensure solutions are maintainable, cost-eƯicient, and compliant with reference architectures.
• Oversee technical risk management early in the lifecycle and drive systematic remediation of defects and technical debt.

Quality, Reliability & Operability

• Ensure teams build with reliability and operability in mind (telemetry, SLOs, error budgets, runbooks); promote a blameless incident culture and durable post-incident improvements.
• Coordinate readiness for production, hypercare support, and stable operations in partnership with platform and support functions. Cross-Functional Collaboration.
• Create strong collaboration patterns with Product, Design, Architecture, Security, and Data-aligning design choices to business value and user outcomes.
• Represent engineering in governance and portfolio forums, providing transparent updates on progress, risks, and mitigations. Platform & Reuse.
• Encourage reuse via shared libraries, components, and templates; maintain documentation for architecture decisions and reusable assets.

cations

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. · Demonstrated experience leading software engineering teams as an Engineering Manager or Senior Tech Lead, delivering production systems in one or more domains (backend, frontend, data).
• Strong grasp of modern architectures and practices (microservices/event-driven or modular frontends, data pipelines/lakes/warehouses, cloud-native services, CI/CD, automated testing).
• Proven ability to balance delivery speed with quality, security, and cost; adept at dependency management and stakeholder communication.
• Excellent people leadership, coaching, and conflict-resolution skills; ability tonurture inclusive, high-trust team cultures.

Preferred

• Experience working in an enterprise Digital Factory orplatform/product-led organization.
• Exposure to regulatory and security considerations in financial-services environments.
• Hands-on background in one primary domain (e.g., backend with APIs and services, OR frontend with modern frameworks OR data engineering with pipelines and orchestration) and literacy across adjacent domains.

Tools & Ways of Working

• Proficiency with agile tooling (e.g., Azure DevOps), documentation platforms, and standard code collaboration workflows (PRs, code reviews, trunk-based or GitFlow).
• Familiarity with observability stacks (logs, metrics, traces), automated quality gates, and cloud platforms (Azure).
• Commitment to measurable improvement via engineering metrics (e.g., DORA/SPACE), applied pragmatically to guide coaching and process refinement.

What we offer you

Our offer of employment is contingent upon the successful completion of a background check and pre-screening requirements. The candidate acknowledges that all information provided must be accurate.

Team & People Leadership

• Build, lead, and retain high-performing engineering teams across one or more domains (backend, frontend, data); set clear goals, provide continuous feedback, and conduct growth-oriented performance conversations.
• Mentor leads and engineers, raising the bar on engineering excellence, code quality, and maintainability; create individualized development plans and promote knowledge sharing.

Delivery & Execution

• Own delivery outcomes for the team(s): plan releases, sequence work, and remove impediments to ensure predictable, on-time delivery of features with the right quality.
• Partner with Product to refine scope, balance trade-oƯs, and align roadmap, capacity, and budgets with strategic objectives.
• Establish lightweight but eƯective execution rituals (planning, reviews, retrospectives) and ensure clear status communication to stakeholders.

Required Skills & Qualifications:

• Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Accounting, or a related field.
• 4+ years of experience in data analytics, preferably within an audit or assurance environment.
• Proficiency in SQL, Python, and Spark/PySpark.
• Strong experience in data modeling and transforming complex datasets into structured formats.
• Experience in the financial sector, with a solid understanding of financial data structures.
• Ability to analyze and transcribe financial data into ER diagrams for structured analysis.
• Excellent problem-solving and analytical skills with attention to detail.
• Ability to communicate complex data insights clearly and effectively to non-technical stakeholders.
• Familiarity with data governance, privacy, and compliance standards.
• Experience working in Agile teams and using project management tools like Jira or Trello is a plus.

Technical Stewardship

• Uphold engineering standards for secure, scalable, and observable systems; champion practices such as code reviews, automated testing, CI/CD, and trunk-based development.
• Guide architectural decisions in partnership with domain and enterprise architects; ensure solutions are maintainable, cost-eƯicient, and compliant with reference architectures.
• Oversee technical risk management early in the lifecycle and drive systematic remediation of defects and technical debt.

Quality, Reliability & Operability

• Ensure teams build with reliability and operability in mind (telemetry, SLOs, error budgets, runbooks); promote a blameless incident culture and durable post-incident improvements.
• Coordinate readiness for production, hypercare support, and stable operations in partnership with platform and support functions. Cross-Functional Collaboration.
• Create strong collaboration patterns with Product, Design, Architecture, Security, and Data-aligning design choices to business value and user outcomes.
• Represent engineering in governance and portfolio forums, providing transparent updates on progress, risks, and mitigations. Platform & Reuse.
• Encourage reuse via shared libraries, components, and templates; maintain documentation for architecture decisions and reusable assets.

cations

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. · Demonstrated experience leading software engineering teams as an Engineering Manager or Senior Tech Lead, delivering production systems in one or more domains (backend, frontend, data).
• Strong grasp of modern architectures and practices (microservices/event-driven or modular frontends, data pipelines/lakes/warehouses, cloud-native services, CI/CD, automated testing).
• Proven ability to balance delivery speed with quality, security, and cost; adept at dependency management and stakeholder communication.
• Excellent people leadership, coaching, and conflict-resolution skills; ability tonurture inclusive, high-trust team cultures.

Preferred

• Experience working in an enterprise Digital Factory orplatform/product-led organization.
• Exposure to regulatory and security considerations in financial-services environments.
• Hands-on background in one primary domain (e.g., backend with APIs and services, OR frontend with modern frameworks OR data engineering with pipelines and orchestration) and literacy across adjacent domains.

Tools & Ways of Working

• Proficiency with agile tooling (e.g., Azure DevOps), documentation platforms, and standard code collaboration workflows (PRs, code reviews, trunk-based or GitFlow).
• Familiarity with observability stacks (logs, metrics, traces), automated quality gates, and cloud platforms (Azure).
• Commitment to measurable improvement via engineering metrics (e.g., DORA/SPACE), applied pragmatically to guide coaching and process refinement.

What we offer you

Our offer of employment is contingent upon the successful completion of a background check and pre-screening requirements. The candidate acknowledges that all information provided must be accurate.